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Face Image Relighting Using Locally Constrained Global Optimization

2020-03-31 | |  64 |   42 |   0

Abstract

A face image relighting method using locally constrained global  optimization is presented in this paper. Based on the empirical fact that  common radiance environments are locally homogeneous, we propose to use an  optimization based solution in which local linear adjustments are performed on  overlapping windows throughout the input image. As such, local textures and  global smoothness of the input image can be preserved simultaneously when  applying the illumination transformation. Experimental results demonstrate the  effectiveness of the proposed method comparing to some previous approaches.

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